{"id":"W2400500583","doi":"","title":"Predicting Summary Quality using Limited Human Input.","year":2009,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Topic Modeling","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automatic summarization; Computer science; Group cohesiveness; Pyramid (geometry); Similarity (geometry); Quality (philosophy); Data mining; Correlation; Artificial intelligence; Machine learning; Mathematics; Image (mathematics); Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01040656,0.001648294,0.001051825,0.002690685,0.0005435313,0.001851526,0.00100433,0.001613754,0.001413505],"category_scores_gemma":[0.06372171,0.000328562,0.0007416634,0.001914012,0.0003677129,0.001983229,0.0009573755,0.001062281,0.00095235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008886699,"about_ca_system_score_gemma":0.0006634033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004810704,"about_ca_topic_score_gemma":0.007671866,"domain_scores_codex":[0.9921616,0.00408809,0.0006561552,0.001633663,0.001221797,0.0002387387],"domain_scores_gemma":[0.9136767,0.06754252,0.004549368,0.006432476,0.006505207,0.001293845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004832831,0.001644436,0.1797252,0.002605731,0.001842913,0.0007021635,0.002316414,0.1332968,0.03691737,0.001136367,0.0153897,0.6195902],"study_design_scores_gemma":[0.0003415741,0.004214198,0.1301722,0.0001510975,0.0006170741,0.0004304011,0.0007586161,0.8089383,0.04465917,0.003021487,0.006445012,0.0002508009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8615314,0.002578503,0.1169162,0.0003817051,0.000196949,0.0006102838,0.005041939,0.008330552,0.00441246],"genre_scores_gemma":[0.9322561,0.0001955771,0.06045025,0.00006622345,0.00005183256,0.0001554395,0.005809923,0.000125372,0.00088927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01040656,"threshold_uncertainty_score":0.05503583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03254081077730608,"score_gpt":0.3080529285357289,"score_spread":0.2755121177584228,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}